LEADER 01971oam 2200445Ia 450 001 9910696379203321 005 20080103132957.0 035 $a(CKB)5470000002377036 035 $a(OCoLC)182576313 035 $a(EXLCZ)995470000002377036 100 $a20071129d2007 ua 0 101 0 $aeng 135 $aurmn||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aHydrologic record extension of water-level data in the Everglades Depth Estimation Network (EDEN) using artificial neural network models, 2000-2006$b[electronic resource] /$fby Paul A. Conrads and Edwin A. 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Rocha, Florentino Fdez-Riverola 205 $a1st ed. 2013. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2013. 215 $a1 online resource (153 p.) 225 1 $aAdvances in Intelligent Systems and Computing,$x2194-5365 ;$v222 300 $aDescription based upon print version of record. 311 08$a9783319005775 311 08$a3319005774 320 $aIncludes index. 327 $aSequencing and Microarray -- Analysis -- Tools. 330 $aThe growth in the Bioinformatics and Computational Biology fields over the last few years has been remarkable and the trend is to increase its pace. In fact, the need for computational techniques that can efficiently handle the huge amounts of data produced by the new experimental techniques in Biology is still increasing driven by new advances in Next Generation Sequencing, several types of the so called omics data and image acquisition, just to name a few. The analysis of the datasets that produces and its integration call for new algorithms and approaches from fields such as Databases, Statistics, Data Mining, Machine Learning, Optimization, Computer Science and Artificial Intelligence. Within this scenario of increasing data availability, Systems Biology has also been emerging as an alternative to the reductionist view that dominated biological research in the last decades. Indeed, Biology is more and more a science of information requiring tools from the computational sciences. In the last few years, we have seen the surge of a new generation of interdisciplinary scientists that have a strong background in the biological and computational sciences. In this context, the interaction of researchers from different scientific fields is, more than ever, of foremost importance boosting the research efforts in the field and contributing to the education of a new generation of Bioinformatics scientists. PACBB?13 hopes to contribute to this effort promoting this fruitful interaction. PACBB'13 technical program included 19 papers from a submission pool of 32 papers spanning many different sub-fields in Bioinformatics and Computational Biology. Therefore, the conference will certainly have promoted the interaction of scientists from diverse research groups and with a distinct background (computer scientists, mathematicians, biologists). The scientific content will certainly be challenging andwill promote the improvement of the work that is being developed by each of the participants.  . 410 0$aAdvances in Intelligent Systems and Computing,$x2194-5365 ;$v222 606 $aComputational intelligence 606 $aArtificial intelligence 606 $aBioinformatics 606 $aComputational Intelligence 606 $aArtificial Intelligence 606 $aComputational and Systems Biology 615 0$aComputational intelligence. 615 0$aArtificial intelligence. 615 0$aBioinformatics. 615 14$aComputational Intelligence. 615 24$aArtificial Intelligence. 615 24$aComputational and Systems Biology. 676 $a570.285 701 $aMohamad$b Mohd Saberi$01373428 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910438040403321 996 $a7th International Conference on Practical Applications of Computational Biology & Bioinformatics$94463156 997 $aUNINA